Autocorrelation as a critical factor of growth depensation of tropical trees in the Chocó biogeographic region

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY Ecological Modelling Pub Date : 2024-11-20 DOI:10.1016/j.ecolmodel.2024.110949
Camilo E. Martínez , Sergio A. Orrego , Jorge A. Giraldo , Jorge I. del Valle , Freddy Hernández-Barajas , Diego A. David
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Abstract

Growth depensation, the variation of size with age exhibited by populations, is attributed to biological, ecological, and environmental factors, as well as autocorrelation. Several studies have focused on the study of diameter growth of tropical trees to obtain information on ontogenic traits and silvicultural metrics of interest for ecology and forest management. However, few studies have rigorously and adequately considered autocorrelation as a primary factor contributing to growth depensation. The aim of this study was to investigate diameter growth in tree species from the Chocó biogeographic region. We used tree-ring data corresponding to 38 trees and 5 species. Our modeling approach included von Bertalanffy type equations to estimate diameter growth trajectories for each species using mixed effects models. ARIMA specifications were included in the residual terms to account for autocorrelation. The estimated parameters allowed us to calculate ontogenic traits and silvicultural metrics for each species. The results indicate that autocorrelation was a critical factor in growth depensation for all species studied, and was satisfactorily accounted for by the proposed modeling approach. Autocorrelation patterns on residuals showed a stochastic trend and were investigated by correlation structures of ARIMA(1,1,0) and ARIMA(2,1,0). Ontogenic traits and silvicultural metrics obtained for these species were biologically consistent, providing reliable and useful information to understand the population ecology of tropical trees and to inform management and conservation strategies of natural forests.
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自相关性是乔科生物地理区域热带树木生长减弱的一个关键因素
生物、生态和环境因素以及自相关性是造成生长不均衡(即种群的大小随年龄的变化而变化)的原因。一些研究侧重于热带树木直径生长的研究,以获取生态学和森林管理所关注的本体特征和造林指标方面的信息。然而,很少有研究严格而充分地考虑到自相关性是导致生长减弱的主要因素。本研究旨在调查乔科生物地理区域树种的直径增长情况。我们使用了 38 种树木和 5 个树种的树环数据。我们的建模方法包括冯-贝塔朗菲(von Bertalanffy)类型方程,利用混合效应模型估计每个物种的直径增长轨迹。残差项中包含 ARIMA 规范,以考虑自相关性。根据估计参数,我们可以计算出每个物种的本体特征和造林指标。结果表明,自相关性是所有研究物种生长减弱的关键因素,而所提出的建模方法可以很好地解释自相关性。残差的自相关模式呈现随机趋势,并通过 ARIMA(1,1,0)和 ARIMA(2,1,0)的相关结构进行了研究。这些物种的本体性状和造林指标在生物学上是一致的,为了解热带树木的种群生态学以及为天然林的管理和保护策略提供了可靠和有用的信息。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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